Reconfigurable Intelligent Surface Beam Management via Phase Control
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Solution Overview
Problem
Current wireless communication systems face challenges in optimizing beam management and reflection characteristics for reliable wireless communication links, particularly with the introduction of reconfigurable intelligent surfaces (RISs), which require efficient methods to determine and configure reflection parameters for enhanced signal quality.
Innovation Solution
The implementation of a reconfigurable intelligent surface (RIS) with programmable sub-wavelength unit cells that can adjust phase and reflection coefficients to optimize beam reflection characteristics, using reflection parameter sets and modes to enhance signal quality and reliability, including dynamic indications, higher layer configurations, and system parameters for beam selection and reflection management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reconfigurable intelligent surfaces (RISs) are introduced to enhance signal quality, then beam reflection characteristics are improved, but beam management complexity increases
Solution Approach 1:
The RIS is divided into multiple sub-wavelength unit cells, each capable of independent phase and reflection coefficient adjustment. This segmentation allows the system to manage beam reflection characteristics through distributed control of individual units, reducing the complexity of controlling a monolithic surface while maintaining enhanced signal quality.
Solution Approach 2:
The RIS employs dynamic reconfiguration of reflection parameters through programmable control of unit cells. The system can adapt beam reflection characteristics in real-time based on channel conditions, enabling optimal signal quality while managing complexity through software-based dynamic adjustment rather than static hardware configurations.
2Reliability
If reflection parameters are dynamically adjusted to optimize beam characteristics, then signal quality is enhanced, but system configuration complexity increases
Solution Approach 1:
The system optimizes signal quality by dynamically changing reflection parameters (phase and reflection coefficients) of the RIS unit cells. These parameter changes are implemented through programmable control, allowing the system to adapt to varying channel conditions while managing configuration complexity through standardized parameter adjustment mechanisms.
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors signal quality and channel conditions, then adjusts RIS reflection parameters accordingly. This closed-loop control enables automatic optimization of beam characteristics while reducing manual configuration complexity through automated parameter tuning based on real-time measurements.
3Adaptability or versatility
If multiple beam reflection modes are implemented for flexible beam selection, then adaptability is improved, but control complexity increases
Solution Approach 1:
The RIS unit cells are designed with multi-functionality, capable of performing multiple operations including phase shifting, reflection coefficient adjustment, and beam steering. This universal design enables flexible beam selection and adaptation to different communication scenarios while managing control complexity through unified control mechanisms that handle multiple functions simultaneously.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the reliability and efficiency of wireless communication links by optimizing beam reflection characteristics, enhancing signal quality and reducing interference, thereby improving overall network performance.
Implementation Method 1
programmable sub-wavelength unit cells that can adjust phase and reflection coefficients
Implementation Method 2
reconfigurable intelligent surface (RIS) with programmable sub-wavelength unit cells that can adjust phase and reflection coefficients to optimize beam reflection characteristics
Data Source
AI summary
Procedures, methods, architectures, apparatuses, systems, devices, and computer program products are disclosed that may be implemented in a wireless transmit/receive unit (WTRU) that is in communication with a base station and/or an intelligent reflecting surface (IRS). For example, the WTRU may operate to facilitate selection of a first beam transmitted from the base station and reflected by the IRS and selection of a reflection parameter set which configures the IRS to reflect the first beam in a manner which may enhance reception of the first beam at the WTRU. As another example, the WTRU may operate to facilitate selection of a beam pair which may include a first beam transmitted from the base station and a second beam transmitted from the base station and reflected by the IRS to the WTRU. The WTRU may receive a configuration which associates particular beams with particular reference signal resources.


